Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study
Abstract Background Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched. Methods 10,690 respon...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | Cardiovascular Diabetology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12933-024-02570-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594981380947968 |
|---|---|
| author | Jinhao Liao Linjie Wang Lian Duan Fengying Gong Huijuan Zhu Hui Pan Hongbo Yang |
| author_facet | Jinhao Liao Linjie Wang Lian Duan Fengying Gong Huijuan Zhu Hui Pan Hongbo Yang |
| author_sort | Jinhao Liao |
| collection | DOAJ |
| description | Abstract Background Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched. Methods 10,690 respondents with diabetes and prediabetes from the NHANES 1999–2016 were enrolled in the study. Three machine learning methods (SVM-RFE, XGBoost, and Boruta algorithms) were employed to select the most critical variables. Logistic regression models were established to evaluate the association between eGDR and CVD. We applied ROC curves, C-statistics, NRI, IDI, calibration curves, and DCA curves to assess model performance. Subgroup analyses were conducted to investigate the association among different subgroups. Results Participants in the higher quartile showed a decreased prevalence of CVD. Multivariate logistic regression models and RCS curves demonstrated that eGDR had an independently negative linear correlation with the likelihood of CVD[Q4 vs. Q1: OR 0.24(0.18,0.32)], CAD[OR 0.81(0.78,0.85)], CHF[OR 0.81(0.76,0.86)], and stroke[0.85(0.80,0.90)]. Model evaluation showed better performance in fully adjusted models than basic models[C-statistics(Model 3 vs. Model 1): CVD(0.683 vs. 0.814), CAD(0.672 vs. 0.807), CHF(0.714 vs. 0.839) and stroke(0.660 vs. 0.790)]. The AUCs of eGDR were significantly higher than the values of other IR surrogates in the unadjusted models, and slightly higher in the fully adjusted models. Subgroup analyses indicated that the results were robust. Conclusion A lower eGDR was significantly associated with a heightened likelihood of CVD and its subtypes in diabetic and prediabetic populations. And eGDR exhibited better performance in evaluating the associations compared to other IR proxies encompassing TyG, HOMA-IR, QCUIKI, METS-IR, etc. |
| format | Article |
| id | doaj-art-7fbd3fb5ea7249ea8bacfc1d20acb8de |
| institution | Kabale University |
| issn | 1475-2840 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Cardiovascular Diabetology |
| spelling | doaj-art-7fbd3fb5ea7249ea8bacfc1d20acb8de2025-01-19T12:09:09ZengBMCCardiovascular Diabetology1475-28402025-01-0124111310.1186/s12933-024-02570-yAssociation between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional studyJinhao Liao0Linjie Wang1Lian Duan2Fengying Gong3Huijuan Zhu4Hui Pan5Hongbo Yang6Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeAbstract Background Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched. Methods 10,690 respondents with diabetes and prediabetes from the NHANES 1999–2016 were enrolled in the study. Three machine learning methods (SVM-RFE, XGBoost, and Boruta algorithms) were employed to select the most critical variables. Logistic regression models were established to evaluate the association between eGDR and CVD. We applied ROC curves, C-statistics, NRI, IDI, calibration curves, and DCA curves to assess model performance. Subgroup analyses were conducted to investigate the association among different subgroups. Results Participants in the higher quartile showed a decreased prevalence of CVD. Multivariate logistic regression models and RCS curves demonstrated that eGDR had an independently negative linear correlation with the likelihood of CVD[Q4 vs. Q1: OR 0.24(0.18,0.32)], CAD[OR 0.81(0.78,0.85)], CHF[OR 0.81(0.76,0.86)], and stroke[0.85(0.80,0.90)]. Model evaluation showed better performance in fully adjusted models than basic models[C-statistics(Model 3 vs. Model 1): CVD(0.683 vs. 0.814), CAD(0.672 vs. 0.807), CHF(0.714 vs. 0.839) and stroke(0.660 vs. 0.790)]. The AUCs of eGDR were significantly higher than the values of other IR surrogates in the unadjusted models, and slightly higher in the fully adjusted models. Subgroup analyses indicated that the results were robust. Conclusion A lower eGDR was significantly associated with a heightened likelihood of CVD and its subtypes in diabetic and prediabetic populations. And eGDR exhibited better performance in evaluating the associations compared to other IR proxies encompassing TyG, HOMA-IR, QCUIKI, METS-IR, etc.https://doi.org/10.1186/s12933-024-02570-yEstimated glucose disposal rateInsulin resistanceCardiovascular diseaseDiabetesPrediabetes |
| spellingShingle | Jinhao Liao Linjie Wang Lian Duan Fengying Gong Huijuan Zhu Hui Pan Hongbo Yang Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study Cardiovascular Diabetology Estimated glucose disposal rate Insulin resistance Cardiovascular disease Diabetes Prediabetes |
| title | Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study |
| title_full | Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study |
| title_fullStr | Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study |
| title_full_unstemmed | Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study |
| title_short | Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study |
| title_sort | association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes a cross sectional study |
| topic | Estimated glucose disposal rate Insulin resistance Cardiovascular disease Diabetes Prediabetes |
| url | https://doi.org/10.1186/s12933-024-02570-y |
| work_keys_str_mv | AT jinhaoliao associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT linjiewang associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT lianduan associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT fengyinggong associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT huijuanzhu associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT huipan associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy AT hongboyang associationbetweenestimatedglucosedisposalrateandcardiovasculardiseasesinpatientswithdiabetesorprediabetesacrosssectionalstudy |